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Informatics Initiative (MII)/FHIR standards Design and implement methodological concepts and software for benchmarking frameworks for AI evaluation Independently develop and implement research ideas within
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formed Faculty of Computing, Mathematics, Engineering, and Natural Sciences (CoMENS) is undergoing significant growth at Northeastern University London. It is home to four interdisciplinary undergraduate
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The Data Science and Learning Division (DSL) of the Computing, Environment and Life Sciences Directorate (CELS) and the Materials Science Division (MSD) of the Physical Sciences and Engineering
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Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are looking for a Postdoctoral Researcher in food technology to join the Food
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Apply now Job no:535376 Work type:Faculty - Pro Tempore Location:Eugene, OR Categories:Instruction, Computer and Information Science, Data Science Department: CAS CIS Computer & Information Science
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Science, Chemistry, Computer Science, or related disciplines. Specific Requirements Knowledge and Professional Experience: • Knowledge of programming languages used in data analysis (particularly python) is
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Max Planck Institute for Extraterrestrial Physics, Garching | Garching an der Alz, Bayern | Germany | about 1 month ago
Job Code: 04/2026 Job Offer from February 02, 2026 Astrochemistry Postdoctoral positions on Computational Chemistry (m/f/d) Job ID: 04/2026 The Max Planck Institute for Extraterrestrial Physics (MPE
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20 Jan 2026 Job Information Organisation/Company KINGS COLLEGE LONDON Research Field Computer science Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Application Deadline
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: The successful candidate will join the Distributed AI (DAI) group in the Department of Informatics, King’s College London. They will carry out research in neuro-symbolic AI, with a focus on using generative and
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part of the SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS), which aims to recruit and train the next-generation of data-driven life scientists and to create globally